Realtor Agent Scraper – Scrape Realtor.com Agent Emails, Phones & MLS Leads

The fastest way to build real estate agent lead lists from Realtor.com. Search any city or ZIP and export agent full name, email(s), phone(s), MLS license, brokerage, ratings, specialties, served areas, and social links — flat, CRM-ready JSON, no API key required.

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What is this Realtor.com agent scraper?

This Realtor agent scraper extracts real estate agent contact and profile data directly from Realtor.com's agent directory — by city, state, or ZIP code, with no Realtor.com API key needed. Give it a location, and it returns structured lead data: agent name, verified email and phone, brokerage and office details, MLS license number, star rating, recent sales activity, specialties, service areas, and social profiles. It's built for anyone who's searched "how to scrape real estate agent emails" and needs a reliable, production-ready pipeline instead of manual copy-pasting from agent profile pages.

What it extracts: individual agent profiles from Realtor.com's realestateagents directory — contact info, license/brokerage data, ratings, and social links.

Who it's for: real estate recruiters, mortgage and title marketers, PropTech CRMs, coaching/training programs, and lead-gen agencies that sell to or through agents.

Why choose this over a property listings scraper: listing scrapers return properties; this Actor returns people — the agents themselves, enriched with license, brokerage, and contact data purpose-built for outreach and recruiting, not home-buying.

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Why scrape Realtor.com agents? (Business Use Cases)

• Agent Recruiting — Build market-specific candidate lists (by city, ZIP, or rating threshold) for brokerage recruiting and team-building outreach.
• Mortgage, Title & Vendor Marketing — Generate targeted outreach lists of active agents in a territory for loan officers, title companies, and real estate SaaS/vendor sales teams.
• MLS & Licensing Compliance Research — Pull license numbers and license states in bulk to verify agent credentials or cross-reference against state licensing boards.
• Market Share & Competitive Analysis — Identify top-producing agents by review score, active listings, and recently-sold volume within a given market.

Key Features

Feature	Detail
Location search	City, ST or ZIP code — each location scraped independently
Per-location limits	maxItems (or the limitPerLocation alias) caps agents per location
Rating filter	Keep only agents above a chosen star threshold (minRating)
Buyer/seller intent filter	Narrow results to buyer's agents, seller's agents, or both (agentType)
Deep profile enrichment	Full bio, license number, license state, phones, and social links (enrichProfiles)
Rich lead fields	Brokerage, office address, MLS IDs, specialties, served areas, review score/count, active listings, recently sold counts, price range
Social links included	Facebook, Instagram, LinkedIn, Twitter/X, YouTube, TikTok — where published
Streaming output	Every agent is pushed to the dataset as soon as it's scraped

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Input Parameters

Parameter	Type	Required	Default	Description
locations	string[]	Yes	—	Cities (City, ST) and/or ZIP codes to search for agents; each is scraped independently
maxItems	integer	No	200	Maximum agents to collect per location (e.g. 2 cities × 200 = up to 400 agents)
limitPerLocation	integer	No	—	Alias for maxItems (Braveleads-compatible); used only if maxItems isn't set
minRating	number	No	0	Only keep agents with an average rating ≥ this value (0–5); 0 = no filter
agentType	string	No	both	both | buyer | seller — filter by specialization intent where available
enrichProfiles	boolean	No	true	Fetch full agent branding profile for richer bio, license, phone, and social data

Valid input sample:

{
  "locations": ["Chicago, IL", "Houston, TX", "90210"],
  "maxItems": 200,
  "minRating": 4,
  "agentType": "both",
  "enrichProfiles": true
}

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Output Data Structure

Each output item is one flat agent record, combining contact info, brokerage/license data, performance stats, and social links.

{
  "country": "US",
  "source": "realtor",
  "locationQuery": "90210",
  "agentId": "56c4d53a89a68901006ddecd",
  "fullName": "Jordan Ellis",
  "firstName": "Jordan",
  "lastName": "Ellis",
  "profileUrl": "https://www.realtor.com/realestateagents/...",
  "phone": "(555) 017-1473",
  "phones": ["(555) 017-1473"],
  "email": "jordan.ellis@example.com",
  "emails": ["jordan.ellis@example.com"],
  "websiteUrl": "https://www.example-realtorsite.com",
  "officeName": "Example Realty Group",
  "officeAddress": "123 Main Street, Upland, CA, 91786",
  "city": "Upland",
  "state": "CA",
  "brokerName": "EXAMPLE REALTY GROUP",
  "licenseNo": "01234567",
  "licenseState": "CA",
  "specialties": ["Luxury Homes", "First-Time Buyers", "Investment Properties"],
  "servedAreas": ["Upland, CA", "Rancho Cucamonga, CA", "Claremont, CA"],
  "intentType": ["BUYER", "SELLER"],
  "reviewScore": 5,
  "reviewCount": 42,
  "activeListings": 6,
  "recentlySoldAnnual": 18,
  "priceMin": 250000,
  "priceMax": 4500000,
  "facebook": "https://facebook.com/...",
  "instagram": "https://instagram.com/...",
  "isRealtor": true,
  "scrapedAt": "2026-09-18T09:32:32.810239+00:00"
}

Export straight to JSON, CSV, or Excel from the Apify dataset UI or API — ready to import into your CRM or outreach tool without reshaping.

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How to Scrape Realtor.com Agent Leads in 4 Steps

1. Configure input — Add target cities or ZIP codes to locations, then set minRating and agentType to narrow your lead list.
2. Run the Actor — Click "Start" in the Apify Console, or trigger it via the Apify API, Python, or JavaScript SDK.
3. Preview leads — Watch agent records stream into the dataset in real time as they're scraped.
4. Export or sync — Download as JSON, CSV, or Excel, or push leads straight into HubSpot, Salesforce, Instantly, or a spreadsheet via Zapier, Make, n8n, or webhooks.

Integrations & Export Options

Results export natively to JSON, CSV, and Excel, and connect directly to no-code tools like n8n, Zapier, and Make. Sync scraped agent leads into HubSpot, Salesforce, Instantly, Google Sheets, or a data warehouse via the Apify API, SDKs, or scheduled webhook triggers — ideal for keeping recruiting or outreach pipelines continuously refreshed with new agents in target markets.

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Frequently Asked Questions (FAQ)

How do I scrape real estate agent emails from Realtor.com?

Enter one or more cities or ZIP codes into locations, enable enrichProfiles for fuller contact coverage, and run the Actor. It returns each agent's public email, phone, brokerage, and license data as structured JSON — ready to export to CSV or your CRM.

Is this the same as a property listings scraper?

No. This Actor targets the agent directory (realestateagents) for lead generation — names, contacts, licenses, and brokerage data. Use a property listings scraper (like a Realtor.com homes-for-sale Actor) if you need home listings instead of agent profiles.

Can I filter for only top-rated agents?

Yes — set minRating to 4 or 4.5 to exclude agents below that star rating, useful for recruiting or partnership outreach focused on proven performers.

Why is an agent's email sometimes missing?

Realtor.com doesn't expose an email on every public agent card. Enabling enrichProfiles (on by default) significantly improves email and phone coverage by pulling the agent's full branding profile, though a small number of agents still keep contact details private.

How does maxItems work with multiple cities or ZIPs?

It applies per location, not globally. Two locations with maxItems: 200 can return up to 400 agents total — one location's cap doesn't affect another's.

Can I filter agents by buyer or seller specialization?

Yes — set agentType to buyer or seller to narrow results to agents whose profile indicates that intent; use both (default) for no filtering.

Can I integrate this with my CRM or outreach tools?

Yes. Use the Apify API, webhooks, or Python/JS SDKs to push agent leads directly into HubSpot, Salesforce, Instantly, Google Sheets, or your own outreach/dialer stack.

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